[Fluid Clean] remove nn.topk, nn.ctc_greedy_decoder, nn.im2sequence, nn.multiplex, nn.smooth_l1 (#48289)

* rm poly_util.h

* format code

* fix some problems

* format code

* rm _enable_legacy

* recover original code

* add_range

* add_range

* clean elem_arithmetic part2 unittest

* fix test_model_cast_to_bf16

* restore test_model_cast_to_bf16

* fill_any_like_bool

* fill_any_like_bool

* [Eager] fix set_value logic when input's dtype is different

* value_tensor

* fix set_value logic when input's dtype is different

* refactor: classify static check

* refactor: rename to static_check & use forward decl

* refactor: switch to unary & binary funcs

* move softmax to paddle2.0

* fix some bugs

* resolve conflict

* remove some code

* modify code style

* fix bugs

* fix code

* fix move code

* fix some bugs

* fix code

* fix some code

* modify the header file

* fix bugs

* fix some examples

* fix mish example

* fix code

* add custom profier doc

* update

* format; test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* Add migrations

* Fix build errors

* Remove elementwise_mul from migration

* Migrate mul_mkldnn_op to matmul_kernel

* Review fixes - changed mutable_data, changed ctx to dev_ctx, fixed namespaces

* switched some funcs to phi

* Deleted not needed phi:: and changed place checking according to standards

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad

* fix xpu compile error

* fix xpu compile error

* fix xpu ut

* fix xpu ut

* fix_xpu_compile_error
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

[fluid remove]: remove paddle.fluid.layers.nn.temporal_shift and paddle.fluid.layers.sigmoid_focal_loss (#48553)

* remove paddle.fluid.layers.nn.temporal_shift

* code check

* rm unittest

* remove paddle.fluid.layers.sigmoid_focal_loss

* [remove fluid] drop_out PI

* [remove fluid] drop_out PI

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* profile reduce kernel for fp16 and reduceHigherdim

* use reinterpret_cast

* fix for CI on ROCm

* add Macro for ROCm

* ROCm CI config

* ROCm CI config

* unit test repair

* pull

* add common_funcs.h

* reduceType

* Update reduce_function.h

* not higher

* rename

* Fix fuse_gemm_epilogue

* update tests

* Update CMakeLists.txt

* Update CMakeLists.txt

* Update CMakeLists.txt

* fix random seed

* use assert_allclose

* Update test_dist_fuse_gemm_epilogue_pass.py

* Update cpp_pass.py

* Update test_dist_fuse_gemm_epilogue_pass.py

* fix codestyle

* update seed and atol

fix test_primapi

* fix capi kernel registration macro error

* update

* replace pad with paddle.nn.functional.pad and fix call arguments

* solve the ImportError in PR-CI-Mac-Python3, which is called "cannot
import name 'assign' from 'paddle.fluid.layers'"

* fix the CI error of remove_pad by remove import paddle.nn.functional as
F

* fix the ImportError of remove_pad

* fix functional call of pad

move paddle.fluid.layers.tensor.create_parameter to paddle.tensor.creation.create_parameter (#48579)

[Eager, Performance Optimization] modify AllocateFrom to reduce deconstruction of shared_ptr (#48548)

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

[Clean Fluid]Remove py_reader/double_buffer/create_py_reader_by_data/load from fluid.layer.io (#48589)


rm py_reader/double_buffer/create_py_reader_by_data/load

rm test_load_xpu

* clear fluid apis in fleet and passes

* fix model.py

* fix model.py

* fix cpp_pass.py

* clear loss.py

* change test file

* fix some test_*.py

* fix adaround.py

* fix evaluator.py

* fix CI bug

* fix CI bug

* fix decode.py

* fix detection.py

* fix ci bug

* rm test_sigmoid_cross_entropy_with_logits_op_ipu.py and fix __init__.py

* fix ci bug

* fix ci BUG

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add silu, unfold and their grads,test=kunlun